Carlos Becerra

6.0k citations
98 papers · 2.5k indexed · 1 hit paper · h-index 24

Carlos Becerra

92 papers receiving 2.5k citations

Hit Papers

Safety, pharmacokinetic, pharmacodynamic, and efficacy da...4242012202620162021100200300400

Peers

Carlos Becerra
Comparison fields: 5 of 107
  • Oncology 1.1k
  • Cancer Research 379
  • Molecular Biology 1.4k
  • Immunology 400
  • Pathology and Forensic Medicine 267
Replace Hetty Timmer‐Bosscha with:
Hetty Timmer‐Bosscha Netherlands
Volker Wacheck Austria
Delphine Mérino Australia
Paul Kussie United States
Scott A. Boerner United States
Junnian Zheng China
Alexander R. Shoemaker United States
Robert D. Ladner United States
Donna Headlee United States
Carlos Becerra relative to Hetty Timmer‐Bosscha Netherlands Hetty Timmer‐Bosscha's profile →
Citations per field
00.5×1.5×2.5×
Hetty Timmer‐Bosscha · 1×
Citations per year

Countries citing papers authored by Carlos Becerra

Since Specialization
Citations

This map shows the geographic impact of Carlos Becerra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carlos Becerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Becerra more than expected).

Fields of papers citing papers by Carlos Becerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Becerra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carlos Becerra. The network helps show where Carlos Becerra may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Carlos Becerra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Carlos Becerra Line = papers co-authored together Carlos Becerra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20216
4 202047
5 20197
6 20194
7 201833
8 20173
9 201633
10 201621
11 201314
12
Safety, pharmacokinetic, pharmacodynamic, and efficacy data for the oral MEK inhibitor trametinib: a phase 1 dose-escalation trialbreakdown →
2012424
13 2010225
14 200943
15 200556
16 200350
17 200349
18 200015
19 199828
20 199727

About Carlos Becerra

Carlos Becerra is a scholar working on Oncology, Toxicology and Cancer Research, having authored 98 papers that have together received 2.5k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (20 papers), Pancreatic and Hepatic Oncology Research (16 papers), Cancer Treatment and Pharmacology (14 papers), Cancer Immunotherapy and Biomarkers (12 papers), HER2/EGFR in Cancer Research (10 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Gastric Cancer Management and Outcomes (9 papers) and Lung Cancer Treatments and Mutations (9 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (379 citations) and Molecular Biology (1.4k citations). Carlos Becerra has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Udit Verma, Richard B. Gaynor, Eugene P. Frenkel, Rama Mohan Surabhi, Razelle Kurzrock, Howard A. Burris, Jeffrey R. Infante, Michael S. Gordon, Donna S. Cox and Keith T. Flaherty. Their work appears in journals such as Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology, Annals of Oncology, Clinical Cancer Research and Investigational New Drugs.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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